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James (Jingxi) Xu
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James (Jingxi) Xu

@drjingxi
senior research scientist @antgroup and postdoc @stanford. ex @rai_inst @columbia @mit @penn. robot learning.
Bay Area, CA
jxu.ai
Joined January 2019
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  • user avatar
    James (Jingxi) Xu
    @drjingxi
    Jul 27
    Thanks for hosting!!
    user avatar
    angela zhang
    @angelajiazhang
    Jul 26
    great first Sundae Robotics 🙃 thanks @drjingxi for speaking on his work with UME - we’ll be doing this every Sunday and also starting a Boston series. rsvp to next sunday’s in comments; reach out if you’re working on robotics and interested! @EdmondIsARobot @menemazarakis
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  • user avatar
    James (Jingxi) Xu
    @drjingxi
    Jul 27
    Great capture!
    user avatar
    James
    @Darpinian
    Jul 27
    Robot gets a beer from the fridge
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  • user avatar
    James (Jingxi) Xu
    @drjingxi
    Jul 23
    Congrats! Very cool work!
    user avatar
    Kelin Yu
    @ColinYu14116982
    Jul 17
    OmniTacTune won the Best Paper Award at the Tactile Sensing for Robotic Foundation Models Workshop at RSS 2026! (tac-for-fm.github.io/rss2026/) Huge thanks to the coauthors @HaodeZ47056 and @HanYunhai, and our advisors @h_ravichandar and @RuohanGao1.
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    James (Jingxi) Xu
    @drjingxi
    Jul 22
    Looking forward to talking about UME at this event. We will also bring the hardware so people can check it out in person!
    user avatar
    Edmond
    @EdmondIsARobot
    Jul 19
    🤖🍨 Sharing the first Sundae Robotics event, a new series bringing together a tight-knit group of robotics researchers, founders, and builders for frontier talks, technical discussions, and sundaes. The inaugural session features one of the main authors behind the recent
  • user avatar
    James (Jingxi) Xu
    @drjingxi
    Jun 26
    Can't agree more!
    user avatar
    Litian Liang
    @litian_liang
    Jun 25
    "Computer Vision is a Robotics problem, but Robotics is not a Computer Vision problem." - I learned this from Professor @SongShuran's lecture in 2024 at @Stanford. The box pushing task in our recent work UME is yet another demonstration of this point: x.com/litian_liang/s…
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